医学研究与教育
醫學研究與教育
의학연구여교육
MEDICAL RESEARCH AND EDUCATION
2014年
2期
17-20
,共4页
刘梅云%张红杰%朱继红%高敬
劉梅雲%張紅傑%硃繼紅%高敬
류매운%장홍걸%주계홍%고경
药物流产%流产结局%影响因素%logistic回归
藥物流產%流產結跼%影響因素%logistic迴歸
약물유산%유산결국%영향인소%logistic회귀
medical abortion%abortion outcome%inlfuencing factors%logistic regression
目的:探讨药物流产结局的影响因素,为制定相应的干预措施提供依据。方法以药物流产后因不全流产或失败行手术干预者为病例组,以药物流产后完全流产者为对照组,采用病例对照研究,分析影响药物流产结局的因素。采用SPSS16.0进行数据分析。结果共调查病例组32例,对照组170例。单因素分析结果表明,手术流产史(χ2=4.691, P=0.030)、药物流产的地点(χ2=13.487,P=0.000)、药物流产的孕周(χ2=6.747,P=0.009)、药物流产前是否诊断为阴道炎(χ2=22.153,P=0.000)对药物流产是否完全流产的影响有统计学意义;多因素logistic回归分析结果表明,药物流产的地点(OR=3.693,P=0.009)和药物流产前是否诊断为阴道炎(OR=4.520,P=0.000)是药物流产结局的独立影响因素。结论在私立诊所行药物流产妇女比选择公立医院或计划生育诊所,更可能发生流产不全或失败;患有阴道炎的妇女发生药物流产不全或失败的可能性更大。
目的:探討藥物流產結跼的影響因素,為製定相應的榦預措施提供依據。方法以藥物流產後因不全流產或失敗行手術榦預者為病例組,以藥物流產後完全流產者為對照組,採用病例對照研究,分析影響藥物流產結跼的因素。採用SPSS16.0進行數據分析。結果共調查病例組32例,對照組170例。單因素分析結果錶明,手術流產史(χ2=4.691, P=0.030)、藥物流產的地點(χ2=13.487,P=0.000)、藥物流產的孕週(χ2=6.747,P=0.009)、藥物流產前是否診斷為陰道炎(χ2=22.153,P=0.000)對藥物流產是否完全流產的影響有統計學意義;多因素logistic迴歸分析結果錶明,藥物流產的地點(OR=3.693,P=0.009)和藥物流產前是否診斷為陰道炎(OR=4.520,P=0.000)是藥物流產結跼的獨立影響因素。結論在私立診所行藥物流產婦女比選擇公立醫院或計劃生育診所,更可能髮生流產不全或失敗;患有陰道炎的婦女髮生藥物流產不全或失敗的可能性更大。
목적:탐토약물유산결국적영향인소,위제정상응적간예조시제공의거。방법이약물유산후인불전유산혹실패행수술간예자위병례조,이약물유산후완전유산자위대조조,채용병례대조연구,분석영향약물유산결국적인소。채용SPSS16.0진행수거분석。결과공조사병례조32례,대조조170례。단인소분석결과표명,수술유산사(χ2=4.691, P=0.030)、약물유산적지점(χ2=13.487,P=0.000)、약물유산적잉주(χ2=6.747,P=0.009)、약물유산전시부진단위음도염(χ2=22.153,P=0.000)대약물유산시부완전유산적영향유통계학의의;다인소logistic회귀분석결과표명,약물유산적지점(OR=3.693,P=0.009)화약물유산전시부진단위음도염(OR=4.520,P=0.000)시약물유산결국적독립영향인소。결론재사립진소행약물유산부녀비선택공립의원혹계화생육진소,경가능발생유산불전혹실패;환유음도염적부녀발생약물유산불전혹실패적가능성경대。
Objective To explore the influencing factors of medical abortion outcome, and provide evidences for making intervention measures. Methods A case-control study was adopted with cases who had incomplete or failure abortion after medical abortion, and the controls were those who had complete abortion. The data was analyzed by SPSS16.0. Results The univariate analysis showed that factors such as the surgical abortion history (χ2=4.691, P=0.030), the site of the medical abortion (χ2=13.487, P=0.000), pregnant weeks (χ2=6.747, P=0.009), whether vaginitis before medical abortion (χ2=22.153, P=0.000) were influencing the medical abortion outcome. The multivariate analysis showed that risk factors were the site of the medical abortion (OR=3.693, P=0.009)and whether vaginitis before medical abortion (OR=4.520, P=0.000). Conclusion In private clinics, the ratio of incomplete abortion or failure of medical abortion was more than that in public hospital or family planning clinics. For the women with vaginitis, the possibility of incomplete abortion or failure was greater.